Microblog hot topic detection method based on meaningful string clustering

Aiming at the properties of sparse feature, content fragmentation for microblog data, a hot topic detection method was proposed based on meaningful string clustering. The multiple strategies including repeated string detection, context analysis and language rule filtering were combined to extract me...

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Bibliografiske detaljer

Principais autores:	Min HE, Li-hong WANG, Pan DU, Jin ZHANG, Xue-qi CHENG
Format:	Artigo
Sprog:	Chinês
Udgivet:	Editorial Department of Journal on Communications 2013-08-01
Serier:	Tongxin xuebao
Fag:	hot topic microblog meaningful string feature clustering
Online adgang:	http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2013.z1.034/
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